Abstract
Purpose: A method is presented for visualizing microcalcifications by full-field mammography using wavelet frames, an enhancement operator, and a suitable reconstruction technique. Material and methods: The computer algorithm is tested on 24 digital mammographies (Senographe 2000D, GE Medical Systems) containing microcalcifications. This algorithm highlights microcalcification-like structures by means of a filter bank that is based on wavelet decomposition. What is new about this filter bank is that the discretization of the continuous wavelet transformation is specifically adjusted to the problem of image analysis, allowing for a better discrimination of microcalcifications from the image background. Results: In all cases (24/24), microcalcifications were depicted with a markedly higher contrast. Conclusion: Special computer algorithms improve the visualization of microcalcifications. This means in principle, that there is a potential to improve diagnostic assessment.
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